public void TestEpochCompletelyWrongEquals1UnipolarWithMargin()
{
Vector <double> error1 = new DenseVector(new double[] { 0.6, 0.6, 0.6 });
Vector <double> error2 = new DenseVector(new double[] { -0.6, -0.6, 0.6 });
Vector <double> error3 = new DenseVector(new double[] { 0.6, -0.6, 0.6 });
double mse1 = MSECalculator.CalculateRawMSE(error1);
double mse2 = MSECalculator.CalculateRawMSE(error2);
double mse3 = MSECalculator.CalculateRawMSE(error3);
double rawMSESum = mse1 + mse2 + mse3;
double epochMSE = MSECalculator.CalculateEpochMSE(rawMSESum, 3.0, 0.2, 0.8);
Assert.AreEqual(1.0, epochMSE, 0.00001);
}
public void TestEpochCompletelyWrongEquals1Unipolar()
{
Vector <double> error1 = new DenseVector(new double[] { 1.0, 1.0, 1.0 });
Vector <double> error2 = new DenseVector(new double[] { -1.0, -1.0, 1.0 });
Vector <double> error3 = new DenseVector(new double[] { 1.0, -1.0, 1.0 });
double mse1 = MSECalculator.CalculateRawMSE(error1);
double mse2 = MSECalculator.CalculateRawMSE(error2);
double mse3 = MSECalculator.CalculateRawMSE(error3);
double rawMSESum = mse1 + mse2 + mse3;
double epochMSE = MSECalculator.CalculateEpochMSE(rawMSESum, 3.0, Unipolar.MinValue, Unipolar.MaxValue);
Assert.AreEqual(1.0, epochMSE, 0.00001);
}
public void TestEpochWrongOverflowUnipolarWithMargin()
{
Vector <double> error1 = new DenseVector(new double[] { 0.8, 0.6, 0.6 });
Vector <double> error2 = new DenseVector(new double[] { -0.6, -0.75, 0.6 });
Vector <double> error3 = new DenseVector(new double[] { 0.6, -0.6, 0.6 });
double mse1 = MSECalculator.CalculateRawMSE(error1);
double mse2 = MSECalculator.CalculateRawMSE(error2);
double mse3 = MSECalculator.CalculateRawMSE(error3);
double rawMSESum = mse1 + mse2 + mse3;
double epochMSE = MSECalculator.CalculateEpochMSE(rawMSESum, 3.0, 0.2, 0.8);
Assert.IsTrue(epochMSE > 1.0);
}
protected virtual double CalculateMSEError(INetwork network, IDataSet dataSet)
{
double mseSum = 0.0;
foreach (Pattern p in dataSet.EnumeratePatterns())
{
mseSum += MSECalculator.CalculateRawMSE(p.IdealOutput - network.ComputeOutput(p.Input));
}
double min;
double max;
Normalizor.GetMinMaxActivationWithMargin(network.Activation.MinValue, network.Activation.MaxValue, out min, out max);
return(MSECalculator.CalculateEpochMSE(mseSum, dataSet.PatternCount, min, max));
}
private double CalculateEpochMSE(double mse, double count)
{
return(MSECalculator.CalculateEpochMSE(mse, count, minValidOutput, maxValidOutput));
}